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<div class="moz-cite-prefix">Hi Nagesh, <br>
<br>
On 10/13/2015 01:02 PM, Nagesh Adluru wrote:<br>
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cite="mid:CAL7GMYTB3pYuu3-n_p14b-8PNvL9o_CCqibtWesGJdMeOfx=og@mail.gmail.com"
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<div dir="ltr">Hey Jian,
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<div>This is fantastic update!! Really really thank you for
making such great software. I will definitely try it out.</div>
<div><br>
</div>
<div>I know I always seem to be asking help from you but I was
wondering on the two aspects below:</div>
<div><br>
</div>
<div>1) I was not able to dig too deep into peak finding myself
because of my lack familiarity. I was wondering if you are
planning to release that part so we can try tractography with
your diffusion models.</div>
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I have some old codes for this task, however I did not find time to
rewrite and import it into dmritool. I will do it when I have time.
I will inform you when it is done. <br>
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<div>2) Are you working on spatial normalization ideas for your
diffusion models? What are your thoughts on how to perform
this with your models. Should we just transform the DWI data
and fit the models in the normalized space by adjusting the
bvectors? Or do you think transforming your models by
preserving orientations would be good?</div>
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No, I have not worked for DWI registration. <br>
If you transform the DWI data, which method you want to use? In my
opinion, you can not treat DWI data as a simple vector-valued data
without considering a diffusion model. <br>
It is possible to fit the data using SPF model, then perform
registration on SPF model. But I currently have no time to do this.
<br>
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cite="mid:CAL7GMYTB3pYuu3-n_p14b-8PNvL9o_CCqibtWesGJdMeOfx=og@mail.gmail.com"
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<div><br>
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<div>Thanks so much and it is so great to have you as a friend!</div>
<div>Sincerely,</div>
<div>Nagesh</div>
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<div class="gmail_extra"><br>
<div class="gmail_quote">On Tue, Oct 13, 2015 at 11:45 AM, Jian
Cheng <span dir="ltr"><<a moz-do-not-send="true"
href="mailto:jian.cheng.1983@gmail.com" target="_blank">jian.cheng.1983@gmail.com</a>></span>
wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex">Hi Nagesh,<br>
<br>
Last time we discussed visualization of scalar maps using
paraview.<br>
Instead of paraview, you may try VTKPolyData.py.<br>
<a moz-do-not-send="true"
href="https://diffusionmritool.github.io/commands/VTKPolyData.py.html"
rel="noreferrer" target="_blank">https://diffusionmritool.github.io/commands/VTKPolyData.py.html</a><br>
I recently added and modified it to visualize the vtk file
with a scalar<br>
map, and used it to generate tutorial outputs.<br>
<br>
best,<br>
Jian Cheng<br>
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